angusfung/population-based-training

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Python
Created over 6 years ago
Updated almost 6 years ago

angusfung/population-based-training

angusfung

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Reproducing results from DeepMind's paper on Population Based Training of Neural Networks.

pbt-gan

Applying Population Based Training on Generative Adversarial Networks.

sokoban-AI

AI of the game Sokoban using search strategies and heuristics with deadlock checking.

face-gender-classification

Facial and gender classification of actors from scratch, using linear regression, with pictures taken from FaceScrub.

sudoku-AI

Sudoku solver by modelling it as a CSP (constraint-satification problem), and additionally as an exact cover problem using Dancing Links (TO DO).

barrel-inspector-robot

Fully autonomous robot that investigates the status of heavy water containing barrels for a nuclear power plant. Written in assembly language for the PIC16 microcontroller, to provide a functional proof-of-concept prototype.

numbrix-hidato-AI

AI for the game Numbrix and Hidato by means of modelling it as a constraint-satisfication problem using BT, FC, GAC with MRV heuristic.

deepnn_classifier

Classifying faces and hand-written characters (Python + Tensor flow)

dotfiles

tenner-grid-AI

AI for the game Tenner Grid by means of modelling it as a constraint-satisfication problem using BT, FC, GAC with MRV heuristic.